{"id":"W4399726643","doi":"10.32920/26052349.v1","title":"Computational Methods Application of Musculoskeletal Analysis for Seating Comfort","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004675689,0.0006492191,0.0005000796,0.0007693637,0.0004263536,0.001025429,0.0007564905,0.0009514018,0.00654854],"category_scores_gemma":[0.002245674,0.0003451288,0.0008994439,0.0004770615,0.0004319914,0.000439221,0.001034431,0.0008293766,0.001189785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454646,"about_ca_system_score_gemma":0.001044753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521609,"about_ca_topic_score_gemma":0.00403556,"domain_scores_codex":[0.9997662,0.00007076513,0.00001660619,0.00003846759,0.00009074699,0.00001736014],"domain_scores_gemma":[0.9994143,0.000333139,0.00004616594,0.00005665699,0.000129668,0.00002016935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005880369,0.0001035895,0.002180972,0.0003528198,0.000100382,0.0001534104,0.0002323955,0.8447794,0.008212496,0.03445479,0.003080725,0.1062902],"study_design_scores_gemma":[0.000008503931,0.00001778362,0.0003442688,0.00002343072,0.000007605127,0.00002787832,0.00003290142,0.9907222,0.0005394096,0.004977873,0.003291567,0.000006726804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01223055,0.0004382291,0.9758883,0.0002983101,0.0001323041,0.0001295983,0.0002414206,0.0005090726,0.01013227],"genre_scores_gemma":[0.3697168,0.00117196,0.6163397,0.0002444878,0.0001655954,0.0008686797,0.0004723772,0.000399053,0.01062143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00654854,"threshold_uncertainty_score":0.02190709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727715242631149,"score_gpt":0.4293264198243231,"score_spread":0.4020492673980116,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}